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==Testing: Modeling and GFP Imaging==

==Testing: Modeling and GFP Imaging==

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'''Measurement'''

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'''A LAC SWITCH MODEL'''

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We used a previously published synthetic switch, developed by Ceroni et al., to understand how our system could potentially be modeled and simulated.

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For our testing, we will examine the relationship between the level of concentration of the chemical compound toulene and the level of fluorescence. The fluorescence from DH5α cells harboring the constructed biobrick with the xylr protein will be measured at various concentrations of toluene.

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'''AN INTERACTIVE MODEL'''

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'''Expected Observations [4]'''

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We used a model of the natural Lac operon to understand how changing the parameter values changes the behavior of the system.

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We explored how one technique, imaging via microscopy could be used to determine the production rate of an output protein, in this case GFP in yeast, could be used to determine a "real" value for maximum GFP production rate under our own laboratory conditions.

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For tuning our system, we hope to make it more effective by increasing the efficiency of the ribosome binding site. The RBS controls the accuracy and efficiency with which the translation of mRNA begins. Therefore, we hope to use this important variable to tune our system.

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Ideally, the GFP production rate measured by this method could be entered as a value for [which parameter] in the Ceroni et al. model.

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==Human Practices==

==Human Practices==

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The human practices of our project is important because it seeks to identify where these carcinogens are located in farmland areas. If these chemicals are getting into the groundwater, it poses an extreme risk to people in those areas. Problems of concern also involve the farmland animals, who eat the plants from the soil and drink the water. This is a serious issue because these chemicals get into the food that is produced.

* My name is ###, and I am a ### majoring in ###. I am taking BME 494 because ###. An interesting fact about me is that ###.

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*My name is Brady Laughlin, and I am a freshman majoring in biomedical engineering. I am taking BME 494 because I am interested in synthetic biology and its many applications. I'm also a member of the Haynes Lab at ASU and I have my own research project. An interesting fact about me is that I have a twin brother.

* Hello, I am Christina and I am a sophomore in biomedical engineering. I decided to sign up for this course because synthetic biology is truly interesting to me and I wanted to further enhance my education on the subject. An interesting fact about me is that I am a tae-kwon-do black belt.</div>

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* My name is ###, and I am a ### majoring in ###. I am taking BME 494 because ###. An interesting fact about me is that ###.

* My name is ###, and I am a ### majoring in ###. I am taking BME 494 because ###. An interesting fact about me is that ###.

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* My name is David Medina, I am a senior biomedical engineering major at Arizona State University. I decided to take this introductory course to synthetic biology because it sounded like an interesting topic and I wanted to learn more about this up and coming field. An interesting fact about me is that me and my youngest brother were born on the same day, five years apart.

* Hey all, I'm Ben Schmitz. I am a mega-senior nearing completion of my biomedical engineering bachelors at ASU. I am taking this course as the penultimate technical elective course of my educational career. An interesting fact about me is that I am getting married in Oregon in September.

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* My name is ###, and I am a ### majoring in ###. I am taking BME 494 because ###. An interesting fact about me is that ###.

Overview & Purpose

Background

Design: Our genetic circuit

Building: Assembly Scheme

Testing: Modeling and GFP Imaging

A LAC SWITCH MODEL
We used a previously published synthetic switch, developed by Ceroni et al., to understand how our system could potentially be modeled and simulated.

AN INTERACTIVE MODEL
We used a model of the natural Lac operon to understand how changing the parameter values changes the behavior of the system.

COLLECTING EMPIRICAL VALUES TO IMPROVE THE MODEL
We explored how one technique, imaging via microscopy could be used to determine the production rate of an output protein, in this case GFP in yeast, could be used to determine a "real" value for maximum GFP production rate under our own laboratory conditions.

Ideally, the GFP production rate measured by this method could be entered as a value for [which parameter] in the Ceroni et al. model.

Human Practices

Danger of Chemicals in Farmlands

Our Team

Your Name

My name is ###, and I am a ### majoring in ###. I am taking BME 494 because ###. An interesting fact about me is that ###.

Your Name

My name is ###, and I am a ### majoring in ###. I am taking BME 494 because ###. An interesting fact about me is that ###.

Your Name

My name is ###, and I am a ### majoring in ###. I am taking BME 494 because ###. An interesting fact about me is that ###.

Your Name

My name is ###, and I am a ### majoring in ###. I am taking BME 494 because ###. An interesting fact about me is that ###.